Literature DB >> 32139218

Derivation, Validation, and Prognostic Utility of a Prediction Rule for Nonresponse to Clopidogrel: The ABCD-GENE Score.

Dominick J Angiolillo1, Davide Capodanno2, Nicolas Danchin3, Tabassome Simon4, Thomas O Bergmeijer5, Jurrien M Ten Berg5, Dirk Sibbing6, Matthew J Price7.   

Abstract

OBJECTIVES: The aim of this study was to develop a risk score integrating cytochrome P450 2C19 loss-of-function genotypes with clinical risk factors influencing clopidogrel response that would allow the identification with more precision of subjects at risk for high platelet reactivity (HPR) and adverse clinical outcomes.
BACKGROUND: Clopidogrel is the most broadly used platelet P2Y12 inhibitor. However, a considerable number of patients achieve inadequate platelet inhibition, with persistent HPR, an established marker of increased thrombotic risk, underscoring the need for tools to help identify these subjects. Although carriers of loss-of-function alleles of the cytochrome P450 2C19 enzyme have reduced clopidogrel metabolism leading to increased rates of HPR and thrombotic complications, this explains only a fraction of the pharmacodynamic response to clopidogrel, and a number of clinical factors have also been shown to have contributing roles.
METHODS: Three prospective and independent studies were used to: 1) develop a risk score integrating genetic and clinical factors to identify patients with HPR while on clopidogrel; 2) investigate the external validity of the risk score; and 3) define clinical outcomes associated with the risk score in a cohort of patients with myocardial infarction treated with clopidogrel.
RESULTS: A risk score ABCD-GENE (Age, Body Mass Index, Chronic Kidney Disease, Diabetes Mellitus, and Genotyping) was developed incorporating 5 independent predictors of HPR: 4 clinical (age >75 years, body mass index >30 kg/m2, chronic kidney disease [glomerular filtration rate <60 ml/min], and diabetes mellitus) and 1 genetic (cytochrome P450 2C19 loss-of-function alleles). The C-statistics for the score as an integer variable were 0.71 (95% confidence interval [CI]: 0.68 to 0.75) and 0.64 (95% CI: 0.60 to 0.67) in the pharmacodynamic derivation and validation cohorts, respectively. A cutoff score ≥10 was associated with the best sensitivity and specificity to identify HPR status. The C-statistics for the score were 0.67 (95% CI: 0.64 to 0.71) for all-cause death and 0.66 (95% CI: 0.63 to 0.69) for the composite of all-cause death, stroke, or myocardial infarction at 1 year. Using multiple models for adjustment, the ABCD-GENE score consistently and independently correlated with all-cause death, as well as with the composite of all-cause death, stroke, or myocardial infarction, both as a continuous variable and by using the cutoff of ≥10. The score did not predict bleeding.
CONCLUSIONS: The ABCD-GENE score is a simple tool to identify patients with HPR on clopidogrel and who are at increased risk for adverse ischemic events, including mortality, following an acute myocardial infarction. In patients with a high ABCD-GENE score, long-term oral P2Y12 inhibitors other than clopidogrel should be considered.
Copyright © 2020 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  clopidogrel; genetic testing; outcomes; risk factors

Year:  2020        PMID: 32139218     DOI: 10.1016/j.jcin.2020.01.226

Source DB:  PubMed          Journal:  JACC Cardiovasc Interv        ISSN: 1936-8798            Impact factor:   11.195


  16 in total

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Authors:  Davide Capodanno; Usman Baber; Deepak L Bhatt; Jean-Philippe Collet; George Dangas; Francesco Franchi; C Michael Gibson; Hyeon-Cheol Gwon; Adnan Kastrati; Takeshi Kimura; Pedro A Lemos; Renato D Lopes; Roxana Mehran; Michelle L O'Donoghue; Sunil V Rao; Fabiana Rollini; Patrick W Serruys; Philippe G Steg; Robert F Storey; Marco Valgimigli; Pascal Vranckx; Hirotoshi Watanabe; Stephan Windecker; Dominick J Angiolillo
Journal:  Nat Rev Cardiol       Date:  2022-06-13       Impact factor: 32.419

2.  Impact of the ABCD-GENE Score on Clopidogrel Clinical Effectiveness after PCI: A Multi-Site, Real-World Investigation.

Authors:  Cameron D Thomas; Francesco Franchi; Ellen C Keeley; Joseph S Rossi; Marshall Winget; R David Anderson; Alyssa L Dempsey; Yan Gong; Megan N Gower; Richard A Kerensky; Natasha Kulick; Jean G Malave; Caitrin W McDonough; Ian R Mulrenin; Petr Starostik; Amber L Beitelshees; Julie A Johnson; George A Stouffer; Almut G Winterstein; Dominick J Angiolillo; Craig R Lee; Larisa H Cavallari
Journal:  Clin Pharmacol Ther       Date:  2022-05-02       Impact factor: 6.903

3.  CYP2C19 genotype has prognostic value in specific populations following coronary stenting.

Authors:  Wenyao Wang; Chunli Shao; Bo Xu; Jingjia Wang; Min Yang; Jing Chen; Kuo Zhang; Siyuan Wang; Ping Li; Yi-Da Tang
Journal:  Ann Transl Med       Date:  2021-07

Review 4.  Pharmacogenetics to guide cardiovascular drug therapy.

Authors:  Julio D Duarte; Larisa H Cavallari
Journal:  Nat Rev Cardiol       Date:  2021-05-05       Impact factor: 32.419

Review 5.  Genetic testing in patients undergoing percutaneous coronary intervention: rationale, evidence and practical recommendations.

Authors:  Mattia Galli; Francesco Franchi; Fabiana Rollini; Larisa H Cavallari; Davide Capodanno; Filippo Crea; Dominick J Angiolillo
Journal:  Expert Rev Clin Pharmacol       Date:  2021-05-26       Impact factor: 4.108

6.  ABCD-GENE Score and Clinical Outcomes Following Percutaneous Coronary Intervention: Insights from the TAILOR-PCI Trial.

Authors:  Davide Capodanno; Dominick J Angiolillo; Ryan J Lennon; Shaun G Goodman; Sang-Wook Kim; Fearghas O'Cochlain; Derek Y So; John Sweeney; Charanjit S Rihal; Michael Farkouh; Naveen L Pereira
Journal:  J Am Heart Assoc       Date:  2022-02-08       Impact factor: 6.106

7.  Genomewide Association Study of Platelet Reactivity and Cardiovascular Response in Patients Treated With Clopidogrel: A Study by the International Clopidogrel Pharmacogenomics Consortium.

Authors:  Shefali Setia Verma; Thomas O Bergmeijer; Li Gong; Jean-Luc Reny; Joshua P Lewis; Braxton D Mitchell; Dimitrios Alexopoulos; Daniel Aradi; Russ B Altman; Kevin Bliden; Yuki Bradford; Gianluca Campo; Kiyuk Chang; John H Cleator; Jean-Pierre Déry; Nadia P Dridi; Israel Fernandez-Cadenas; Pierre Fontana; Meinrad Gawaz; Tobias Geisler; Gian Franco Gensini; Betti Giusti; Paul A Gurbel; Willibald Hochholzer; Lene Holmvang; Eun-Young Kim; Ho-Sook Kim; Rossella Marcucci; Joan Montaner; Joshua D Backman; Ruth E Pakyz; Dan M Roden; Elke Schaeffeler; Matthias Schwab; Jae Gook Shin; Jolanta M Siller-Matula; Jurriën M Ten Berg; Dietmar Trenk; Marco Valgimigli; John Wallace; Ming-Shien Wen; Michiaki Kubo; Ming Ta Michael Lee; Ryan Whaley; Stefan Winter; Teri E Klein; Alan R Shuldiner; Marylyn D Ritchie
Journal:  Clin Pharmacol Ther       Date:  2020-07-09       Impact factor: 6.875

8.  High glycated albumin is an independent predictor of low response to clopidogrel in ACS patients: a cross-sectional study.

Authors:  Xiliang Zhao; Quan Li; Chenchen Tu; Yong Zeng; Yicong Ye
Journal:  Cardiovasc Diabetol       Date:  2020-10-09       Impact factor: 9.951

9.  Safety and efficacy of double vs. triple antithrombotic therapy in patients with atrial fibrillation with or without acute coronary syndrome undergoing percutaneous coronary intervention: a collaborative meta-analysis of non-vitamin K antagonist oral anticoagulant-based randomized clinical trials.

Authors:  Giuseppe Gargiulo; Christopher P Cannon; Charles Michael Gibson; Andreas Goette; Renato D Lopes; Jonas Oldgren; Serge Korjian; Stephan Windecker; Giovanni Esposito; Pascal Vranckx; Marco Valgimigli
Journal:  Eur Heart J Cardiovasc Pharmacother       Date:  2021-04-09

10.  MiR-126 Is an Independent Predictor of Long-Term All-Cause Mortality in Patients with Type 2 Diabetes Mellitus.

Authors:  Justyna Pordzik; Ceren Eyileten-Postuła; Daniel Jakubik; Pamela Czajka; Anna Nowak; Salvatore De Rosa; Aleksandra Gąsecka; Agnieszka Cieślicka-Kapłon; Piotr Sulikowski; Krzysztof J Filipiak; Dagmara Mirowska-Guzel; Jolanta M Siller-Matula; Marek Postuła
Journal:  J Clin Med       Date:  2021-05-28       Impact factor: 4.241

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